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    • Applied Data Science

    Applied Data Science Courses Online

    Master applied data science techniques for real-world problem-solving. Learn data manipulation, visualization, and machine learning using Python.

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    Explore the Applied Data Science Course Catalog

    • Status: Free Trial
      Free Trial
      I
      I

      Multiple educators

      IBM and ISC2 Cybersecurity Specialist

      Skills you'll gain: Network Security, Incident Response, Cloud Computing Architecture, Penetration Testing, Computer Security Incident Management, Cloud Services, Security Controls, Business Continuity, Disaster Recovery, Information Assurance, Peripheral Devices, Cybersecurity, Configuration Management, Computing Platforms, Cloud Security, Cloud Infrastructure, Network Troubleshooting, Cloud Platforms, Cloud Hosting, Cloud Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Back-end JavaScript Developer

      Skills you'll gain: Istio, HTML and CSS, Node.JS, Containerization, Software Development Life Cycle, Software Architecture, Server Side, MongoDB, Application Deployment, Cloud-Native Computing, NoSQL, Kubernetes, Restful API, OpenShift, Git (Version Control System), Cloud Applications, GitHub, Serverless Computing, Ajax, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • T

      The University of Chicago

      Understanding the Brain: The Neurobiology of Everyday Life

      Skills you'll gain: Neurology, Psychology, Kinesiology, Anatomy, Behavioral Health, Human Learning, Human Development, Blood Pressure, Mental and Behavioral Health, Mental Health Diseases and Disorders, Respiration, Vital Signs, Biology, Speech Language Pathology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Scripting, Cloud Engineering, Command-Line Interface, Software Development Tools

      4.5
      Rating, 4.5 out of 5 stars
      ·
      430 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Copenhagen Business School

      An Introduction to Consumer Neuroscience & Neuromarketing

      Skills you'll gain: Consumer Behaviour, Marketing Psychology, Decision Making, Human Learning, Customer Insights, Market Research, Business Ethics, Marketing, Advertising, Brand Awareness, Psychology, Magnetic Resonance Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Security Engineer

      Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Kubernetes, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Load Balancing, System Monitoring, Prompt Engineering, Network Monitoring, Cloud Computing Architecture, Containerization, Network Architecture, Role-Based Access Control (RBAC), Network Security, OAuth, Network Routing, Cloud Security, Virtual Private Networks (VPN)

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Security in Google Cloud

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Distributed Denial-Of-Service (DDoS) Attacks, Prompt Engineering, Kubernetes, Cloud Security, Containerization, OAuth, Cloud Storage, Cloud Services, Application Deployment, Virtual Machines, Security Controls, Cloud Computing, Application Development, Data Storage Technologies, Threat Management, Virtual Private Networks (VPN)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Digital Marketing

      Skills you'll gain: Data Storytelling, Online Advertising, Marketing Analytics, Keyword Research, Email Marketing, Digital Media Strategy, Digital Advertising, Google Analytics, Analytics, Marketing Communications, Content Marketing, Social Media Marketing, Marketing, Digital Marketing, Web Analytics, Marketing Strategies, Integrated Marketing Communications, Performance Analysis, Trend Analysis, Consumer Behaviour

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, AI Personalization, Mobile Development, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Application Security, CI/CD, Cloud Applications, Natural Language Processing, Cloud Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Advanced · Specialization · 1 - 3 Months

    • T

      The University of North Carolina at Chapel Hill

      Introduction to Environmental Law and Policy

      Skills you'll gain: Environmental Laws, Environmental Policy, Environmental Regulations, Law, Regulation, and Compliance, Case Law, Pollution Prevention, Environment and Resource Management, Water Resources, Risk Control, Legal Research, Legal Proceedings

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      700 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Software Developers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Code Review, Program Development, Software Architecture, Content Creation, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
    R
    Data
    Beginner Data Science
    Data Science Projects
    Data Analytics
    Advanced Data Science
    Data Analysis
    1…232425…834

    In summary, here are 10 of our most popular applied data science courses

    • IBM and ISC2 Cybersecurity Specialist: ISC2
    • IBM Back-end JavaScript Developer: IBM
    • Understanding the Brain: The Neurobiology of Everyday Life: The University of Chicago
    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • An Introduction to Consumer Neuroscience & Neuromarketing : Copenhagen Business School
    • Preparing for Google Cloud Certification: Cloud Security Engineer: Google Cloud
    • Security in Google Cloud: Google Cloud
    • Digital Marketing: University of Illinois Urbana-Champaign
    • Generative AI for Mobile App Developers: IBM
    • Introduction to Environmental Law and Policy: The University of North Carolina at Chapel Hill

    Frequently Asked Questions about Applied Data Science

    People who are best suited for working in data science have a strong mix of technical skills and complex problem-solving skills. Beyond the job-related skills, people should have strong critical reasoning abilities, which are needed to help them analyze data and solve problems. Creativity, attention to detail, and strong communication skills allow data scientists to translate their analytical findings into actions that business leaders and decision-makers can take. Because this field continues evolving, people in data science should also be enthusiastic about learning new things and willing to constantly expand their skills.‎

    Are you passionate about using data to solve complex problems? Do you enjoy working in both the business and technology fields? Do you have a thirst for learning new things? If you can answer yes to any or all of those questions, learning data science may well be an ideal course for you. Additionally, if you're looking for a field that's in high demand and applicable to a variety of potential positions, it's hard to top data science. It's among the fastest-growing fields, and by 2026 it's predicted to create more than 11 million new jobs, according to the Bureau of Labor Statistics.‎

    Data science opens up a variety of potential career paths, including data scientist, machine learning engineer, data architect, and business intelligence developer. Most people who work in data science start with entry-level jobs like junior data scientist or data analyst after earning a bachelor's degree in computer science or a related field. Some people work their way up from entry-level jobs. Others pursue certifications or trainings specific to systems. To access the largest pool of opportunities, you might want to get a master's or doctoral degree in information technology or computer science.‎

    Data scientists work in a variety of industries, including big tech companies like Google and IBM, financial organizations, pharmaceutical companies, retailers, and even fashion houses. Data scientists work on many different types of jobs, which makes their work valuable to many different types of industries. For example, data scientists might work in fraud identification, market analysis, or manufacturing analysis. Or they might work on projects that task them with analyzing large amounts of data and putting it into reports and dashboards to help stakeholders better understand the significance. Data science can be helpful for marketing, sales, and so much more.‎

    Online Applied Data Science courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Data Science skills. With a wide range of Applied Data Science classes, you can conveniently learn at your own pace to advance your Applied Data Science career skills.‎

    When looking to enhance your workforce's skills in Applied Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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